IEICE TRANSACTIONS on Fundamentals
Energy Efficient Power Allocation for Delay-QoS Constrained Cognitive Radio Networks
Summary :
The problem of power allocation in maximizing the energy efficiency of the secondary user (SU) in a delay quality-of-service (QoS) constrained CR network is investigated in this paper. The average interference power constraint is used to protect the transmission of the primary user (SU). The energy efficiency is expressed as the ratio of the effective capacity to the total power consumption. By using non-linear fractional programming and convex optimization theory, we develop an energy efficiency power allocation scheme based on the Dinkelbach method and the Lagrange multiplier method. Numerical results show that the proposed scheme outperforms the existing schemes, in terms of energy efficiency.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.6 pp.1264-1267
- Publication Date
- 2016/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.1264
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Ding XU
Nanjing University of Posts and Telecommunications
Qun LI
Nanjing University of Posts and Telecommunications
Keyword
Latest Issue
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Ding XU, Qun LI, "Energy Efficient Power Allocation for Delay-QoS Constrained Cognitive Radio Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 6, pp. 1264-1267, June 2016, doi: 10.1587/transfun.E99.A.1264.
Abstract: The problem of power allocation in maximizing the energy efficiency of the secondary user (SU) in a delay quality-of-service (QoS) constrained CR network is investigated in this paper. The average interference power constraint is used to protect the transmission of the primary user (SU). The energy efficiency is expressed as the ratio of the effective capacity to the total power consumption. By using non-linear fractional programming and convex optimization theory, we develop an energy efficiency power allocation scheme based on the Dinkelbach method and the Lagrange multiplier method. Numerical results show that the proposed scheme outperforms the existing schemes, in terms of energy efficiency.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1264/_p
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@ARTICLE{e99-a_6_1264,
author={Ding XU, Qun LI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Energy Efficient Power Allocation for Delay-QoS Constrained Cognitive Radio Networks},
year={2016},
volume={E99-A},
number={6},
pages={1264-1267},
abstract={The problem of power allocation in maximizing the energy efficiency of the secondary user (SU) in a delay quality-of-service (QoS) constrained CR network is investigated in this paper. The average interference power constraint is used to protect the transmission of the primary user (SU). The energy efficiency is expressed as the ratio of the effective capacity to the total power consumption. By using non-linear fractional programming and convex optimization theory, we develop an energy efficiency power allocation scheme based on the Dinkelbach method and the Lagrange multiplier method. Numerical results show that the proposed scheme outperforms the existing schemes, in terms of energy efficiency.},
keywords={},
doi={10.1587/transfun.E99.A.1264},
ISSN={1745-1337},
month={June},}
Copy
TY - JOUR
TI - Energy Efficient Power Allocation for Delay-QoS Constrained Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1264
EP - 1267
AU - Ding XU
AU - Qun LI
PY - 2016
DO - 10.1587/transfun.E99.A.1264
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2016
AB - The problem of power allocation in maximizing the energy efficiency of the secondary user (SU) in a delay quality-of-service (QoS) constrained CR network is investigated in this paper. The average interference power constraint is used to protect the transmission of the primary user (SU). The energy efficiency is expressed as the ratio of the effective capacity to the total power consumption. By using non-linear fractional programming and convex optimization theory, we develop an energy efficiency power allocation scheme based on the Dinkelbach method and the Lagrange multiplier method. Numerical results show that the proposed scheme outperforms the existing schemes, in terms of energy efficiency.
ER -
English
